Lily Yip

2.3k citations
48 papers · 999 · h-index 17

Impact in

Papers in

    • Biochemical and Molecular Research 18
    • Porphyrin Metabolism and Disorders 3
    • HIV/AIDS drug development and treatment 11
    • SARS-CoV-2 and COVID-19 Research 5
    • COVID-19 Clinical Research Studies 4

Lily Yip

43 papers receiving 924 citations

Peers

Lily Yip
Comparison fields: 5 of 117
  • Infectious Diseases 390
  • Modeling and Simulation 42
  • Epidemiology 228
  • Molecular Biology 465
  • Immunology 129
Replace Kuan-Hsuan Chen with:
Kuan-Hsuan Chen Taiwan
Yajing Fu China
Mathilda Mandel Israel
Hua Yu China
Nehemya Friedman Israel
Bo Gong China
Arjun Rustagi United States
Wenjia Hu China
Randall G. Worth United States
Lily Yip relative to Kuan-Hsuan Chen Taiwan Kuan-Hsuan Chen's profile →
Citations per field
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Kuan-Hsuan Chen · 1×
Citations per year

Countries citing papers authored by Lily Yip

Since Specialization
Citations

This map shows the geographic impact of Lily Yip's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lily Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lily Yip more than expected).

Fields of papers citing papers by Lily Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lily Yip. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lily Yip. The network helps show where Lily Yip may publish in the future.

Co-authors

The 25 scholars most cited alongside Lily Yip, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lily Yip Line = papers co-authored together Lily Yip links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021188
2 2014125
3 197184
4 202072
5 202144
6 197743
7 198442
8 197338
9 202035
10 202033
11 202132
12 202125
13 201922
14 197821
15 197319
16 197418
17 198017
18 201916
19 197414
20 197410

About Lily Yip

Lily Yip is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Pulmonary and Respiratory Medicine and Physiology, having authored 48 papers that have together received 999 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (18 papers), HIV/AIDS drug development and treatment (11 papers), Cytomegalovirus and herpesvirus research (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Infection Control and Ventilation (4 papers), Adenosine and Purinergic Signaling (4 papers), COVID-19 Clinical Research Studies (4 papers) and Porphyrin Metabolism and Disorders (3 papers). The work is most often cited by research in Infectious Diseases (390 citations), Modeling and Simulation (42 citations), Epidemiology (228 citations), Molecular Biology (465 citations) and Immunology (129 citations). Lily Yip has collaborated with scholars based in Canada, United States and China. Frequent co-authors include M. Earl Balis, Samira Mubareka, Joseph Dancis, Allison McGeer, David N. Douda, Hartmut Grasemann, Meraj A. Khan, Nades Palaniyar, Charles S. Rubin and Robert C. Nowinski. Their work appears in journals such as Biochemistry, Biochemical Pharmacology, Influenza and Other Respiratory Viruses, Journal of Surgical Oncology and Advances in experimental medicine and biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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